Robust consensus computation

doi:10.1186/1471-2105-9-S10-P4

BMC Bioinformatics
Volume 9
Suppl 10

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This article is part of the supplement: Highlights from the Fourth International Society for Computational Biology (ISCB) Student Council Symposium .

Poster presentation

Robust consensus computation

Tobias Rausch¹^,2 , Anne-Katrin Emde¹^,2 and Knut Reinert²

¹International Max Planck Research School for Computational Biology and Scientific Computing, Ihnestr. 63-73, 14195 Berlin, Germany

²Algorithmische Bioinformatik, Institut für Informatik, Takustr. 9, 14195 Berlin, Germany

author email corresponding author email

from Fourth International Society for Computational Biology (ISCB) Student Council Symposium
Toronto, Canada. 18 July 2008

BMC Bioinformatics 2008, 9(Suppl 10):P4doi:10.1186/1471-2105-9-S10-P4


Published:	30 October 2008

First paragraph (this article has no abstract)

High-throughput sequencing technologies with short read data pose a new challenge to the current three-phase assembly methodology: Overlap-Phase, Layout-Phase, and Consensus-Phase. We describe a new consensus method that is robust in the face of high coverage, shorter reads, and genomic variation.